Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain

OBJECTIVE: Segmentation of thigh muscle and adipose tissue is important for the understanding of musculoskeletal diseases such as osteoarthritis. Therefore, the purpose of this work is (a) to evaluate whether a fully automated approach provides accurate segmentation of muscles and adipose tissue cro...

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Detalles Bibliográficos
Autores principales: Kemnitz, Jana, Baumgartner, Christian F., Eckstein, Felix, Chaudhari, Akshay, Ruhdorfer, Anja, Wirth, Wolfgang, Eder, Sebastian K., Konukoglu, Ender
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351818/
https://www.ncbi.nlm.nih.gov/pubmed/31872357
http://dx.doi.org/10.1007/s10334-019-00816-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351818/
https://www.ncbi.nlm.nih.gov/pubmed/31872357
http://dx.doi.org/10.1007/s10334-019-00816-5

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